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Field
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areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning
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analyses of viral proteins using AI-based prediction tools will also be integrated to support evolutionary inference. This work lies at the intersection of evolutionary biology, bioinformatics, and data
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phenotyping. We are seeking for an enthusiastic Post Doctoral Research Assistant (PDRA) with strong experience in bioinformatic analyses to join our team and lead the analyses of bulk and single cell ‘omic
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Grade E.89 Posting Detail Information Position Summary The Postdoctoral Associate will perform research and develop software tools in Bioinformatics, working on drug discovery related applications
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science, engineering, or medicine, and possess a strong background in stem cell biology, vascular biology, and/or bioinformatics, supported by a solid publication record. We highly value prior experience in
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are the following: Works under the direction of the Principal Investigator. Carries out various experimental and bioinformatics studies in the area of 1) the regulation and function of tumor suppressor p53 and its
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implantation and immunohistochemistry. Experience in Bioinformatics is desirable. Additional Information: Working at Ohio State brings with it a robust package of total rewards, including market-based
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implantation. Experience in Bioinformatics is desirable. Additional Information: Working at Ohio State brings with it a robust package of total rewards, including market-based compensation, exceptional health
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field. Strong experience in wet lab techniques, including nucleic acid extraction, sequencing library preparation, and metabolite profiling. Background in bioinformatics for metagenomic and
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. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics